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Climate Dynamics

, Volume 43, Issue 1–2, pp 259–270 | Cite as

Upper tropospheric warming intensifies sea surface warming

  • Baoqiang Xiang
  • Bin Wang
  • Axel Lauer
  • June-Yi Lee
  • Qinghua Ding
Article

Abstract

One of the robust features in the future projections made by the state-of-the-art climate models is that the highest warming rate occurs in the upper-troposphere especially in the tropics. It has been suggested that more warming in the upper-troposphere than the lower-troposphere should exert a dampening effect on the sea surface warming associated with the negative lapse rate feedback. This study, however, demonstrates that the tropical upper-tropospheric warming (UTW) tends to trap more moisture in the lower troposphere and weaken the surface wind speed, both contributing to reduce the upward surface latent heat flux so as to trigger the initial sea surface warming. We refer to this as a ‘top-down’ warming mechanism. The rise of tropospheric moisture together with the positive water vapor feedback enhance the downward longwave radiation to the surface and facilitate strengthening the initial sea surface warming. Meanwhile, the rise of sea surface temperature (SST) can feed back to intensify the initial UTW through the moist adiabatic adjustment, completing a positive UTW–SST warming feedback. The proposed ‘top-down’ warming mechanism and the associated positive UTW–SST warming feedback together affect the surface global warming rate and also have important implications for understanding the past and future changes of precipitation, clouds and atmospheric circulations.

Keywords

Latent Heat Flux Atmospheric General Circulation Model Surface Wind Speed Couple General Circulation Model Surface Latent Heat Flux 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors thank Shang-Ping Xie, Qiang Fu, Tim Li and three anonymous reviewers for their valuable comments. This study is supported by the International Pacific Research Center which is funded jointly by JAMSTEC, NOAA, and NASA. B.X., B.W. and J.Y.L. acknowledge APEC Climate Center (APCC) and Global Research Laboratory (GRL) grant funded by the Ministry of Education, Science and Technology (MEST 2011-0021927). J.Y.L. is supported by the MEST Brain Pool program. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modeling, which is responsible for CMIP, and we thank the climate modeling groups for producing and making available their model output.

References

  1. Andrews T, Forster PM, Gregory JM (2009) A surface energy perspective on climate change. J Clim 22:2557–2570CrossRefGoogle Scholar
  2. Bala G, Caldeira K, Nemani R (2010) Fast versus slow response in climate change: implications for the global hydrological cycle. Clim Dyn 35:423–434CrossRefGoogle Scholar
  3. Bony S et al (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19:3445–3482CrossRefGoogle Scholar
  4. Butler AH, Thompson DWJ, Heikes R (2010) The steady-state atmospheric circulation response to climate change-like thermal forcings in a simple general circulation model. J Clim 23:3474–3496CrossRefGoogle Scholar
  5. Cao L, Bala G, Caldeira K (2012) Climate response to changes in atmospheric carbon dioxide and solar irradiance on the time scale of days to weeks. Environ Res Lett 7. doi: 10.1088/1748-9326/7/3/034015
  6. Collins WD et al (2006) Radiative forcing by well-mixed greenhouse gases: estimates from climate models in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). J Geophys Res 111:D14317CrossRefGoogle Scholar
  7. Colman RA (2001) On the vertical extent of atmospheric feedbacks. Clim Dyn 17:391–405CrossRefGoogle Scholar
  8. Dong B, Gregory JM, Sutton RT (2009) Understanding land–sea warming contrast in response to increasing greenhouse gases. Part I: transient adjustment. J Clim 22:3079–3097CrossRefGoogle Scholar
  9. Easterling D, Meehl GA, Parmesan C, Changnon SA, Karl TR, Mearns LO (2000) Climate extremes: observations, modeling, and impacts. Sci 289:2068–2074Google Scholar
  10. Frierson DMW, Lu J, Chen G (2007) Width of the Hadley cell in simple and comprehensive general circulation models. Geophys Res Lett 34:L18804CrossRefGoogle Scholar
  11. Fu Q, Manabe S, Johanson CM (2011) On the warming in the tropical upper troposphere: models versus observations. Geophys Res Lett 38:L15704Google Scholar
  12. Gettelman A, Fu Q (2008) Observed and simulated upper-tropospheric water vapor feedback. J Clim 21:3282–3289CrossRefGoogle Scholar
  13. Gregory JM, Forster PM (2008) Transient climate response estimated from radiative forcing and observed temperature change. J Geophys Res 113:D23105CrossRefGoogle Scholar
  14. Hansen J, Sato M, Ruedy R (1997) Radiative forcing and climate response. J Geophys Res 102:6831–6864CrossRefGoogle Scholar
  15. Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Clim 19:5686–5699CrossRefGoogle Scholar
  16. Johnson NC, Xie S-P (2010) Changes in the sea surface temperature threshold for tropical convection. Nat Geosci 3:842–845CrossRefGoogle Scholar
  17. Kamae Y, Watanabe M (2012) Tropospheric adjustment to increasing CO2: its timescale and the role of land–sea contrast. Clim Dyn. doi: 10.1007/s00382-012-1555-1
  18. Knutson TR, Manabe S (1995) Time-mean response over the tropical pacific to increased C02 in a coupled ocean–atmosphere model. J Clim 8:2181–2199CrossRefGoogle Scholar
  19. Lee J-Y, Wang B (2013) Future change of global monsoon in the CMIP5. Clim Dyn. doi: 10.1007/s00382-012-1564-0
  20. Liu J, Wang B, Cane MA, Yim S-Y, Lee J-Y (2013) Divergent global precipitation changes induced by natural versus anthropogenic forcing. Nature 493:656–659CrossRefGoogle Scholar
  21. Lu J, Vecchi GA, Reichler T (2007) Expansion of the Hadley cell under global warming. Geophys Res Lett 34:L06805Google Scholar
  22. Ma J, Xie S-P, Kosaka Y (2011) Mechanisms for tropical tropospheric circulation change in response to global warming. J Clim 25:2979–2994CrossRefGoogle Scholar
  23. Manabe S, Smagorinsky J, Strickler RF (1965) Simulated climatology of a general circulation model with a hydrologic cycle. Mon Weather Rev 93:769–798CrossRefGoogle Scholar
  24. Meehl GA et al (2007) Global climate projections. In: Solomon S et al (eds) Climate change 2007: the physical science basis. Cambridge University Press, CambridgeGoogle Scholar
  25. Minschwaner K, Dessler AE, Sawaengphokhai P (2006) Multimodel analysis of the water vapor feedback in the tropical upper troposphere. J Clim 19:5455–5464CrossRefGoogle Scholar
  26. Mitchell JFB (1983) The seasonal response of a general circulation model to changes in CO2 and sea temperatures. QJR Meteorol Soc 109:113–152CrossRefGoogle Scholar
  27. Richter I, Xie S-P (2008) Muted precipitation increase in global warming simulations: a surface evaporation perspective. J Geophys Res 113:D24118CrossRefGoogle Scholar
  28. Roeckner E et al (1996) The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate. Max-Planck-Institut für Meteorologie Rep 218, Hamburg, Germany, p 90Google Scholar
  29. Santer BD et al (2008) Consistency of modelled and observed temperature trends in the tropical troposphere. Int J Climatol 28:1703–1722CrossRefGoogle Scholar
  30. Schneider T, O’Gorman PA, Levine XJ (2010) Water vapor and the dynamics of climate changes. Rev Geophys 48:RG3001CrossRefGoogle Scholar
  31. Sobel AH, Nilsson J, Polvani LM (2001) The weak temperature gradient approximation and balanced tropical moisture waves. J Atmos Sci 58:3650–3665CrossRefGoogle Scholar
  32. Soden BJ, Held IM (2006) An assessment of climate feedbacks in coupled ocean–atmosphere models. J Clim 19:3354–3360CrossRefGoogle Scholar
  33. Solomon S (2007) Climate change 2007: the physical science basis. Cambridge University Press for the Intergovernmental Panel on Climate Change, CambridgeGoogle Scholar
  34. Stephens GL, Ellis TD (2008) Controls of global-mean precipitation increases in global warming GCM experiments. J Clim 21:6141–6155CrossRefGoogle Scholar
  35. Takahashi K (2009) Radiative constraints on the hydrological cycle in an idealized radiative–convective equilibrium model. J Atmos Sci 66:77–91CrossRefGoogle Scholar
  36. Taylor KE, Stouffer RJ, Meehl GA (2011) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498CrossRefGoogle Scholar
  37. Wang S, Gerber EP, Polvani LM (2012) Abrupt circulation responses to tropical upper-tropospheric warming in a relatively simple stratosphere-resolving AGCM. J Clim 25:4097–4115CrossRefGoogle Scholar
  38. Wang B, Xiang B, Lee J-Y (2013) Subtropical high predictability establishes a promising way for monsoon and tropical storm predictions. PNAS. doi: 10.1073/pnas.1214626110 Google Scholar
  39. Xiang B, Wang B (2013) Mechanisms for the advanced Asian Summer Monsoon onset since the mid-to-late 1990s. J Clim 26:1993–2009CrossRefGoogle Scholar
  40. Xiang B, Wang B, Ding Q, Jin FF, Fu X, Kim H-J (2012) Reduction of the thermocline feedback associated with mean SST bias in ENSO simulation. Clim Dyn 39:1413–1430CrossRefGoogle Scholar
  41. Xie S-P, Deser C, Vecchi GA, Ma J, Teng H, Wittenberg AT (2010) Global warming pattern formation: sea surface temperature and rainfall. J Clim 23:966–986CrossRefGoogle Scholar
  42. Xie S-P, Lu B, Xiang B (2013) Similar spatial patterns of climate responses to aerosol and greenhouse gas changes. Nature Geosci (in press)Google Scholar
  43. Yin JH (2005) A consistent poleward shift of the storm tracks in simulations of 21st century climate. Geophys Res Lett 32:L18701CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Baoqiang Xiang
    • 1
  • Bin Wang
    • 1
    • 2
  • Axel Lauer
    • 1
    • 4
  • June-Yi Lee
    • 5
  • Qinghua Ding
    • 3
  1. 1.International Pacific Research Center, School of Ocean and Earth Science and TechnologyUniversity of HawaiiHonoluluUSA
  2. 2.Department of Meteorology, School of Ocean and Earth Science and TechnologyUniversity of HawaiiHonoluluUSA
  3. 3.Department of Earth and Space Sciences, Quaternary Research CenterUniversity of WashingtonSeattleUSA
  4. 4.Institute for Advanced Sustainability StudiesPotsdamGermany
  5. 5.Institute of Environmental StudiesPusan National UniversityBusanKorea

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